问题描述
import cv2
import numpy as np
import math
cap = cv2.VideoCapture(0)
while (1):
try: # an error comes if it does not find anything in window as it cannot find contour of max area
# therefore this try error statement
ret,frame = cap.read()
frame = cv2.flip(frame,1)
kernel = np.ones((3,3),np.uint8)
# define region of interest
roi = frame[100:300,100:300]
cv2.rectangle(frame,(100,100),(300,300),(0,255,0),0)
hsv = cv2.cvtColor(roi,cv2.COLOR_BGR2HSV)
# define range of skin color in HSV
lower_skin = np.array([0,20,70],dtype=np.uint8)
upper_skin = np.array([20,255],dtype=np.uint8)
# extract skin colur imagw
mask = cv2.inRange(hsv,lower_skin,upper_skin)
# extrapolate the hand to fill dark spots within
mask = cv2.dilate(mask,kernel,iterations=4)
# blur the image
mask = cv2.GaussianBlur(mask,(5,5),100)
# find contours
_,contours,hierarchy = cv2.findContours(mask,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
# find contour of max area(hand)
cnt = max(contours,key=lambda x: cv2.contourArea(x))
# approx the contour a little
epsilon = 0.0005 * cv2.arcLength(cnt,True)
approx = cv2.approxpolyDP(cnt,epsilon,True)
# make convex hull around hand
hull = cv2.convexHull(cnt)
# define area of hull and area of hand
areahull = cv2.contourArea(hull)
areacnt = cv2.contourArea(cnt)
# find the percentage of area not covered by hand in convex hull
arearatio = ((areahull - areacnt) / areacnt) * 100
# find the defects in convex hull with respect to hand
hull = cv2.convexHull(approx,returnPoints=False)
defects = cv2.convexitydefects(approx,hull)
# l = no. of defects
l = 0
# code for finding no. of defects due to fingers
for i in range(defects.shape[0]):
s,e,f,d = defects[i,0]
start = tuple(approx[s][0])
end = tuple(approx[e][0])
far = tuple(approx[f][0])
pt = (100,180)
# find length of all sides of triangle
a = math.sqrt((end[0] - start[0]) ** 2 + (end[1] - start[1]) ** 2)
b = math.sqrt((far[0] - start[0]) ** 2 + (far[1] - start[1]) ** 2)
c = math.sqrt((end[0] - far[0]) ** 2 + (end[1] - far[1]) ** 2)
s = (a + b + c) / 2
ar = math.sqrt(s * (s - a) * (s - b) * (s - c))
# distance between point and convex hull
d = (2 * ar) / a
# apply cosine rule here
angle = math.acos((b ** 2 + c ** 2 - a ** 2) / (2 * b * c)) * 57
# ignore angles > 90 and ignore points very close to convex hull(they generally come due to noise)
if angle <= 90 and d > 30:
l += 1
cv2.circle(roi,far,3,[255,0],-1)
# draw lines around hand
cv2.line(roi,start,end,[0,2)
l += 1
# print corresponding gestures which are in their ranges
font = cv2.FONT_HERShey_SIMPLEX
if l == 1:
if areacnt < 2000:
cv2.putText(frame,'Put hand in the Box',50),font,2,255),cv2.LINE_AA)
else:
if arearatio < 12:
cv2.putText(frame,'0',cv2.LINE_AA)
elif arearatio < 17.5:
cv2.putText(frame,'Best of luck',cv2.LINE_AA)
else:
cv2.putText(frame,'1',cv2.LINE_AA)
elif l == 2:
cv2.putText(frame,'2',cv2.LINE_AA)
elif l == 3:
if arearatio < 27:
cv2.putText(frame,'3',cv2.LINE_AA)
else:
cv2.putText(frame,'ok',cv2.LINE_AA)
elif l == 4:
cv2.putText(frame,'4',cv2.LINE_AA)
elif l == 5:
cv2.putText(frame,'5',cv2.LINE_AA)
elif l == 6:
cv2.putText(frame,'reposition',cv2.LINE_AA)
else:
cv2.putText(frame,(10,cv2.LINE_AA)
# show the windows
cv2.imshow('mask',mask)
cv2.waitKey(0)
cv2.imshow('frame',frame)
except:
pass
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
cv2.destroyAllWindows()
cap.release()
这是用于手势识别的代码。当我运行它时，没有窗口打开。
我甚至在接近尾声的cv2.imshow（）语句之后尝试了cv2.waitKey（）和cv2.waitKey（0）。但仍然没有任何窗户在打开。
我还检查了所有权限。
我应该怎么做？
而且，此代码用于一只手的手势识别。如果我想让它同时识别两只手该怎么办？
谢谢。
解决方法
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